Interplay between genetic risk and the parent environment in adolescence and substance use in young adulthood: A TRAILS study / Joëlle A. PASMAN in Development and Psychopathology, 35-1 (February 2023)  

Public ISBD [article]  inDevelopment and Psychopathology > 35-1 (February 2023) . - p.396-409 Titre : Interplay between genetic risk and the parent environment in adolescence and substance use in young adulthood: A TRAILS study Type de document : texte imprimé Auteurs : Joëlle A. PASMAN, Auteur ; Koen SMIT, Auteur ; Wilma A.M. VOLLEBERGH, Auteur ; Ilja M. NOLTE, Auteur ; Catharina A. HARTMAN, Auteur ; Abdel ABDELLAOUI, Auteur ; Karin J.H. VERWEIJ, Auteur ; Dominique MACIEJEWSKI, Auteur ; Jacqueline M. VINK, Auteur Article en page(s) : p.396-409 Langues : Anglais (eng) Mots-clés : Gene*Environment interaction  genetic nurturing  parenting  smoking  substance use Index. décimale : PER Périodiques Résumé : Many adolescents start using tobacco, alcohol, and cannabis. Genetic vulnerability, parent characteristics in young adolescence, and interaction (GxE) and correlation (rGE) between these factors could contribute to the development of substance use. Using prospective data from the TRacking Adolescent Individuals' Lives Survey (TRAILS; N = 1,645), we model latent parent characteristics in young adolescence to predict young adult substance use. Polygenic scores (PGS) are created based on genome-wide association studies (GWAS) for smoking, alcohol use, and cannabis use. Using structural equation modeling we model the direct, GxE, and rGE effects of parent factors and PGS on young adult smoking, alcohol use, and cannabis initiation. The PGS, parental involvement, parental substance use, and parent-child relationship quality predicted smoking. There was GxE such that the PGS amplified the effect of parental substance use on smoking. There was rGE between all parent factors and the smoking PGS. Alcohol use was not predicted by genetic or parent factors, nor by interplay. Cannabis initiation was predicted by the PGS and parental substance use, but there was no GxE or rGE. Genetic risk and parent factors are important predictors of substance use and show GxE and rGE in smoking. These findings can act as a starting point for identifying people at risk. En ligne : https://doi.org/10.1017/S095457942100081X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500 [article] Interplay between genetic risk and the parent environment in adolescence and substance use in young adulthood: A TRAILS study [texte imprimé] / Joëlle A. PASMAN, Auteur ; Koen SMIT, Auteur ; Wilma A.M. VOLLEBERGH, Auteur ; Ilja M. NOLTE, Auteur ; Catharina A. HARTMAN, Auteur ; Abdel ABDELLAOUI, Auteur ; Karin J.H. VERWEIJ, Auteur ; Dominique MACIEJEWSKI, Auteur ; Jacqueline M. VINK, Auteur . - p.396-409. Langues : Anglais (eng) in Development and Psychopathology > 35-1 (February 2023) . - p.396-409 Mots-clés : Gene*Environment interaction  genetic nurturing  parenting  smoking  substance use Index. décimale : PER Périodiques Résumé : Many adolescents start using tobacco, alcohol, and cannabis. Genetic vulnerability, parent characteristics in young adolescence, and interaction (GxE) and correlation (rGE) between these factors could contribute to the development of substance use. Using prospective data from the TRacking Adolescent Individuals' Lives Survey (TRAILS; N = 1,645), we model latent parent characteristics in young adolescence to predict young adult substance use. Polygenic scores (PGS) are created based on genome-wide association studies (GWAS) for smoking, alcohol use, and cannabis use. Using structural equation modeling we model the direct, GxE, and rGE effects of parent factors and PGS on young adult smoking, alcohol use, and cannabis initiation. The PGS, parental involvement, parental substance use, and parent-child relationship quality predicted smoking. There was GxE such that the PGS amplified the effect of parental substance use on smoking. There was rGE between all parent factors and the smoking PGS. Alcohol use was not predicted by genetic or parent factors, nor by interplay. Cannabis initiation was predicted by the PGS and parental substance use, but there was no GxE or rGE. Genetic risk and parent factors are important predictors of substance use and show GxE and rGE in smoking. These findings can act as a starting point for identifying people at risk. En ligne : https://doi.org/10.1017/S095457942100081X Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=500

Loneliness and depressive symptoms in adolescents: A multi-timescale examination / Tak Tsun LO in Development and Psychopathology, 38-4 (October 2026)  

Public ISBD [article]  inDevelopment and Psychopathology > 38-4 (October 2026) . - p.1747-1759 Titre : Loneliness and depressive symptoms in adolescents: A multi-timescale examination Type de document : texte imprimé Auteurs : Tak Tsun LO, Auteur ; J. Loes POUWELS, Auteur ; Jacqueline M. VINK, Auteur ; Nina VAN DEN BROEK, Auteur ; Hend ELTANAMLY, Auteur ; Dominique F. MACIEJEWSKI, Auteur ; Maaike VERHAGEN, Auteur Article en page(s) : p.1747-1759 Langues : Anglais (eng) Mots-clés : adolescence  depressive symptoms  feedback loop  loneliness  timescale Index. décimale : PER Périodiques Résumé : Can feelings of loneliness and depression be adaptive for adolescents? Yes, suggests the Evolutionary Theory of Loneliness: initially, loneliness activates depressive responses for self-preservation. In turn, these feelings prepare adolescents for reaffiliation, thereby reducing loneliness (H1a: short-term balancing feedback loop). If this fails, loneliness and depressive symptoms may become long-term traits that exacerbate each other over time (H1b: long-term reinforcing feedback loop). Therefore, the short-term balancing feedback loop between loneliness and depressive symptoms may buffer against their long-term increases (H2: across-timescale influence). We tested these hypotheses in Dutch adolescents (Mage_Wave1 = 12.9, SDage_Wave1 = 0.7, 53% female) using six-wave, half-yearly panel data (N = 774; 2017–2021) and 7-day, 1.5-hourly experience sampling data (nsubsample = 84; mid-2021). Residual dynamic structural equation modeling revealed reinforcing feedback loops at both short-term (1.5-hourly) and long-term (half-yearly), supporting H1b but not H1a. Bayesian latent change score modeling supported H2: Adolescents who felt more depressed an hour after heightened loneliness showed smaller half-yearly increases in trait loneliness. However, this buffering effect was not predicted by the hourly depressed-to-loneliness relation, nor did either hourly relations predict half-yearly changes in depressive symptoms. Our findings suggest that feeling depressed shortly after loneliness may protect adolescents from long-term loneliness. En ligne : https://dx.doi.org/10.1017/S0954579426101552 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=593 [article] Loneliness and depressive symptoms in adolescents: A multi-timescale examination [texte imprimé] / Tak Tsun LO, Auteur ; J. Loes POUWELS, Auteur ; Jacqueline M. VINK, Auteur ; Nina VAN DEN BROEK, Auteur ; Hend ELTANAMLY, Auteur ; Dominique F. MACIEJEWSKI, Auteur ; Maaike VERHAGEN, Auteur . - p.1747-1759. Langues : Anglais (eng) in Development and Psychopathology > 38-4 (October 2026) . - p.1747-1759 Mots-clés : adolescence  depressive symptoms  feedback loop  loneliness  timescale Index. décimale : PER Périodiques Résumé : Can feelings of loneliness and depression be adaptive for adolescents? Yes, suggests the Evolutionary Theory of Loneliness: initially, loneliness activates depressive responses for self-preservation. In turn, these feelings prepare adolescents for reaffiliation, thereby reducing loneliness (H1a: short-term balancing feedback loop). If this fails, loneliness and depressive symptoms may become long-term traits that exacerbate each other over time (H1b: long-term reinforcing feedback loop). Therefore, the short-term balancing feedback loop between loneliness and depressive symptoms may buffer against their long-term increases (H2: across-timescale influence). We tested these hypotheses in Dutch adolescents (Mage_Wave1 = 12.9, SDage_Wave1 = 0.7, 53% female) using six-wave, half-yearly panel data (N = 774; 2017–2021) and 7-day, 1.5-hourly experience sampling data (nsubsample = 84; mid-2021). Residual dynamic structural equation modeling revealed reinforcing feedback loops at both short-term (1.5-hourly) and long-term (half-yearly), supporting H1b but not H1a. Bayesian latent change score modeling supported H2: Adolescents who felt more depressed an hour after heightened loneliness showed smaller half-yearly increases in trait loneliness. However, this buffering effect was not predicted by the hourly depressed-to-loneliness relation, nor did either hourly relations predict half-yearly changes in depressive symptoms. Our findings suggest that feeling depressed shortly after loneliness may protect adolescents from long-term loneliness. En ligne : https://dx.doi.org/10.1017/S0954579426101552 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=593

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